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Decision Making in Information-Rich Environments

The Role of Information Structure

Bibliographic Data

ID2215286
AuthorsNicholas H Lurie (0000-0001-8505-9033, University of Connecticut, corresponding author)
Year2004
Volume30
Issue4
Pages473-486
Publication date2004-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Consumer Research (JOURNAL)
Journal identifiersISSN: 0093-5301 • E-ISSN: 1537-5277
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1086/380283
OpenAlexW176804839
LanguageEN
Citations received27
References cited31

Today's consumers are often overloaded with information. This article argues that traditional approaches to measuring the amount of information in a choice set fail to account for important structural dimensions of information and may therefore incorrectly predict information overload. Two experiments show that a structural approach to measuring information, such as information theory, is better able to predict information overload and that information structure also has important implications for information acquisition. A Monte-Carlo simulation, in which decision rules are applied to multiple information environments, shows that the amount of information processing mediates the relationship between information structure and information overload. Copyright 2004 by the University of Chicago

Cognitive psychology · Data mining · Data science · Information needs · Information overload · Information processing · Information retrieval · Information Structure · Information system · Knowledge management · Set (abstract data type) · World Wide Web · Computer Science · Consumer Behavior in Brand Consumption and Identification · Decision-Making and Behavioral Economics · Engineering · Neural and Behavioral Psychology Studies · Psychology

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Unique citing works27
Citations per year1,42
Citation span2007 - 2025 (19)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 27

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